General
Filename(s) sub-004_task-Oddball_run-01_eeg.set
MNE object type RawEEGLAB
Measurement date Unknown
Participant sub-004
Experimenter Unknown
Acquisition
Duration 00:09:11 (HH:MM:SS)
Sampling frequency 500.00 Hz
Time points 275,500
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 0.00 Hz
Lowpass 250.00 Hz
PSD
General
Filename(s) sub-004_task-Oddball_run-01_eeg.set
MNE object type RawEEGLAB
Measurement date Unknown
Participant sub-004
Experimenter Unknown
Acquisition
Duration 00:09:11 (HH:MM:SS)
Sampling frequency 500.00 Hz
Time points 275,500
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
PSD
General
MNE object type Epochs
Measurement date Unknown
Participant sub-004
Experimenter Unknown
Acquisition
Total number of events 140
Events counts ODDBALL RARE: 27
ODDBALL STANDARD: 113
Time range -2.000 – 2.000 s
Baseline off
Sampling frequency 500.00 Hz
Time points 2,001
Metadata 140 rows × 6 columns
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (off)
Epoch # event_name ODDBALL DONE ODDBALL RARE ODDBALL STANDARD ODDBALL START STATUS/S 53
2 ODDBALL STANDARD -1.736
3 ODDBALL STANDARD -1.638
4 ODDBALL STANDARD -1.812
5 ODDBALL RARE 0.000 1.548
6 ODDBALL STANDARD -1.548 0.000
7 ODDBALL STANDARD -1.958
8 ODDBALL STANDARD 0.000
9 ODDBALL STANDARD -1.744
10 ODDBALL STANDARD 0.000
11 ODDBALL RARE 0.000 1.712
12 ODDBALL STANDARD -1.712 0.000
16 ODDBALL RARE 0.000
17 ODDBALL STANDARD 0.000
18 ODDBALL STANDARD -1.820
20 ODDBALL STANDARD 0.000
23 ODDBALL STANDARD 0.000
24 ODDBALL STANDARD 1.562 -1.710
25 ODDBALL RARE 0.000 -1.562
26 ODDBALL STANDARD -1.886 0.000
27 ODDBALL STANDARD -1.710
28 ODDBALL STANDARD 1.580 -1.566
29 ODDBALL RARE 0.000 -1.580
30 ODDBALL STANDARD -1.912 0.000
31 ODDBALL STANDARD 0.000
34 ODDBALL STANDARD 1.678 0.000
35 ODDBALL RARE 0.000 -1.678
36 ODDBALL STANDARD 0.000
37 ODDBALL STANDARD 0.000
40 ODDBALL STANDARD 0.000
41 ODDBALL RARE 0.000 1.718
42 ODDBALL STANDARD -1.718 0.000
43 ODDBALL STANDARD 0.000
44 ODDBALL STANDARD 0.000
45 ODDBALL STANDARD -1.708
46 ODDBALL STANDARD 0.000
47 ODDBALL RARE 0.000
48 ODDBALL STANDARD 0.000
49 ODDBALL STANDARD 0.000
50 ODDBALL STANDARD 0.000
51 ODDBALL STANDARD 0.000
52 ODDBALL STANDARD 1.972 0.000
53 ODDBALL RARE 0.000 -1.972
55 ODDBALL STANDARD 0.000
56 ODDBALL STANDARD -1.628
57 ODDBALL STANDARD 1.692 0.000
58 ODDBALL RARE 0.000 -1.692
59 ODDBALL STANDARD -1.546 0.000
60 ODDBALL STANDARD -1.556
61 ODDBALL STANDARD -1.630
62 ODDBALL STANDARD -1.900
65 ODDBALL STANDARD 0.000
66 ODDBALL STANDARD 0.000
67 ODDBALL STANDARD 0.000
70 ODDBALL STANDARD 0.000
71 ODDBALL STANDARD -1.712
72 ODDBALL STANDARD 1.820 -1.612
75 ODDBALL STANDARD 0.000
76 ODDBALL STANDARD -1.672
77 ODDBALL STANDARD 0.000
78 ODDBALL STANDARD -1.732
79 ODDBALL RARE 0.000 1.816
80 ODDBALL STANDARD -1.816 0.000
81 ODDBALL STANDARD 1.818 0.000
82 ODDBALL RARE 0.000 -1.818
83 ODDBALL STANDARD -1.996 0.000
84 ODDBALL STANDARD 0.000
85 ODDBALL STANDARD 0.000
86 ODDBALL STANDARD 0.000
87 ODDBALL STANDARD 1.546 0.000
88 ODDBALL RARE 0.000 -1.546
89 ODDBALL STANDARD -1.626 0.000
90 ODDBALL STANDARD 1.590 -1.872
91 ODDBALL RARE 0.000 -1.590
92 ODDBALL STANDARD 0.000
93 ODDBALL STANDARD -1.730
94 ODDBALL STANDARD 0.000
95 ODDBALL STANDARD 0.000
96 ODDBALL RARE 0.000 1.546
97 ODDBALL STANDARD -1.546 0.000
98 ODDBALL STANDARD 0.000
99 ODDBALL STANDARD -1.964
102 ODDBALL RARE 0.000 1.688
103 ODDBALL STANDARD -1.688 0.000
104 ODDBALL STANDARD 0.000
105 ODDBALL STANDARD -1.610
106 ODDBALL STANDARD 0.000
107 ODDBALL STANDARD 1.738 0.000
108 ODDBALL RARE 0.000 -1.738
111 ODDBALL STANDARD 0.000
112 ODDBALL STANDARD 0.000
113 ODDBALL STANDARD 1.646 -1.770
114 ODDBALL RARE 0.000 -1.646
115 ODDBALL STANDARD 0.000
116 ODDBALL STANDARD 0.000
117 ODDBALL STANDARD 0.000
118 ODDBALL STANDARD 0.000
119 ODDBALL STANDARD -1.742
120 ODDBALL RARE 0.000 1.534
121 ODDBALL STANDARD -1.534 0.000
122 ODDBALL STANDARD -1.862
123 ODDBALL STANDARD -1.938
124 ODDBALL STANDARD -1.738
125 ODDBALL STANDARD 1.682 0.000
126 ODDBALL RARE 0.000 -1.682
127 ODDBALL STANDARD -1.532 0.000
128 ODDBALL STANDARD -1.586
129 ODDBALL STANDARD -1.700
150 ODDBALL STANDARD 0.000
151 ODDBALL STANDARD 0.000
152 ODDBALL STANDARD 1.600 -1.888
153 ODDBALL RARE 0.000 -1.600
157 ODDBALL STANDARD 0.000
158 ODDBALL STANDARD 1.678 -1.804
165 ODDBALL RARE 0.000 1.952
166 ODDBALL STANDARD -1.952 0.000
167 ODDBALL STANDARD -1.570
168 ODDBALL STANDARD -1.692
169 ODDBALL STANDARD 1.772 -1.666
170 ODDBALL RARE 0.000 -1.772
171 ODDBALL STANDARD 0.000
172 ODDBALL STANDARD 0.000
173 ODDBALL STANDARD 0.000
174 ODDBALL STANDARD -1.662
175 ODDBALL RARE 0.000
176 ODDBALL STANDARD 0.000
177 ODDBALL STANDARD 0.000
178 ODDBALL STANDARD 0.000
179 ODDBALL STANDARD 1.916 -1.496
180 ODDBALL RARE 0.000 -1.916
181 ODDBALL STANDARD -1.866 0.000
182 ODDBALL STANDARD 0.000
183 ODDBALL STANDARD -1.680
184 ODDBALL STANDARD -1.554
185 ODDBALL STANDARD 0.000
186 ODDBALL RARE 0.000 1.772
187 ODDBALL STANDARD -1.772 0.000
188 ODDBALL STANDARD -1.806
195 ODDBALL STANDARD -1.720
196 ODDBALL RARE 0.000 1.700
197 ODDBALL STANDARD -1.700 0.000

140 rows × 7 columns

ERP image (EEG)
Drop log
PSD
PSD calculated from 140 epochs (560.0 s).
Autoreject cleaning
Autoreject was run to produce cleaner epochs before fitting ICA. 60 epochs were rejected because more than {'eeg': 8} channels were bad (cross-validated n_interpolate limit; excluding globally bad and non-data channels, shown in white). Note that none of the blue segments were actually interpolated before submitting the data to ICA. This is following the recommended approach for ICA described in the the Autoreject documentation.
Method picard
Fit parameters fastica_it=5
max_iter=500
Fit 163 iterations on epochs (280140 samples)
ICA components 63
Available PCA components 63
Channel types eeg
ICA components marked for exclusion ICA004
ICA008
Events
General
MNE object type Epochs
Measurement date Unknown
Participant sub-004
Experimenter Unknown
Acquisition
Total number of events 200
Events counts ODDBALL RARE: 37
ODDBALL STANDARD: 163
Time range -2.000 – 2.000 s
Baseline off
Sampling frequency 500.00 Hz
Time points 2,001
Metadata 200 rows × 6 columns
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (off)
Epoch # event_name ODDBALL DONE ODDBALL RARE ODDBALL STANDARD ODDBALL START STATUS/S 53
0 ODDBALL STANDARD 0.000 -0.988
1 ODDBALL STANDARD -1.546
2 ODDBALL STANDARD -1.736
3 ODDBALL STANDARD -1.638
4 ODDBALL STANDARD -1.812
5 ODDBALL RARE 0.000 1.548
6 ODDBALL STANDARD -1.548 0.000
7 ODDBALL STANDARD -1.958
8 ODDBALL STANDARD 0.000
9 ODDBALL STANDARD -1.744
10 ODDBALL STANDARD 0.000
11 ODDBALL RARE 0.000 1.712
12 ODDBALL STANDARD -1.712 0.000
13 ODDBALL STANDARD 0.000
14 ODDBALL STANDARD 0.000
15 ODDBALL STANDARD -1.724
16 ODDBALL RARE 0.000
17 ODDBALL STANDARD 0.000
18 ODDBALL STANDARD -1.820
19 ODDBALL STANDARD 0.000
20 ODDBALL STANDARD 0.000
21 ODDBALL STANDARD 0.000
22 ODDBALL RARE 0.000
23 ODDBALL STANDARD 0.000
24 ODDBALL STANDARD 1.562 -1.710
25 ODDBALL RARE 0.000 -1.562
26 ODDBALL STANDARD -1.886 0.000
27 ODDBALL STANDARD -1.710
28 ODDBALL STANDARD 1.580 -1.566
29 ODDBALL RARE 0.000 -1.580
30 ODDBALL STANDARD -1.912 0.000
31 ODDBALL STANDARD 0.000
32 ODDBALL STANDARD -1.918
33 ODDBALL STANDARD 0.000
34 ODDBALL STANDARD 1.678 0.000
35 ODDBALL RARE 0.000 -1.678
36 ODDBALL STANDARD 0.000
37 ODDBALL STANDARD 0.000
38 ODDBALL STANDARD -1.802
39 ODDBALL STANDARD -1.830
40 ODDBALL STANDARD 0.000
41 ODDBALL RARE 0.000 1.718
42 ODDBALL STANDARD -1.718 0.000
43 ODDBALL STANDARD 0.000
44 ODDBALL STANDARD 0.000
45 ODDBALL STANDARD -1.708
46 ODDBALL STANDARD 0.000
47 ODDBALL RARE 0.000
48 ODDBALL STANDARD 0.000
49 ODDBALL STANDARD 0.000
50 ODDBALL STANDARD 0.000
51 ODDBALL STANDARD 0.000
52 ODDBALL STANDARD 1.972 0.000
53 ODDBALL RARE 0.000 -1.972
54 ODDBALL STANDARD 0.000
55 ODDBALL STANDARD 0.000
56 ODDBALL STANDARD -1.628
57 ODDBALL STANDARD 1.692 0.000
58 ODDBALL RARE 0.000 -1.692
59 ODDBALL STANDARD -1.546 0.000
60 ODDBALL STANDARD -1.556
61 ODDBALL STANDARD -1.630
62 ODDBALL STANDARD -1.900
63 ODDBALL STANDARD 1.822 0.000
64 ODDBALL RARE 0.000 -1.822
65 ODDBALL STANDARD 0.000
66 ODDBALL STANDARD 0.000
67 ODDBALL STANDARD 0.000
68 ODDBALL STANDARD -1.868
69 ODDBALL RARE 0.000
70 ODDBALL STANDARD 0.000
71 ODDBALL STANDARD -1.712
72 ODDBALL STANDARD 1.820 -1.612
73 ODDBALL RARE 0.000 -1.820
74 ODDBALL STANDARD -1.990 0.000
75 ODDBALL STANDARD 0.000
76 ODDBALL STANDARD -1.672
77 ODDBALL STANDARD 0.000
78 ODDBALL STANDARD -1.732
79 ODDBALL RARE 0.000 1.816
80 ODDBALL STANDARD -1.816 0.000
81 ODDBALL STANDARD 1.818 0.000
82 ODDBALL RARE 0.000 -1.818
83 ODDBALL STANDARD -1.996 0.000
84 ODDBALL STANDARD 0.000
85 ODDBALL STANDARD 0.000
86 ODDBALL STANDARD 0.000
87 ODDBALL STANDARD 1.546 0.000
88 ODDBALL RARE 0.000 -1.546
89 ODDBALL STANDARD -1.626 0.000
90 ODDBALL STANDARD 1.590 -1.872
91 ODDBALL RARE 0.000 -1.590
92 ODDBALL STANDARD 0.000
93 ODDBALL STANDARD -1.730
94 ODDBALL STANDARD 0.000
95 ODDBALL STANDARD 0.000
96 ODDBALL RARE 0.000 1.546
97 ODDBALL STANDARD -1.546 0.000
98 ODDBALL STANDARD 0.000
99 ODDBALL STANDARD -1.964
100 ODDBALL STANDARD 0.000
101 ODDBALL STANDARD -1.952
102 ODDBALL RARE 0.000 1.688
103 ODDBALL STANDARD -1.688 0.000
104 ODDBALL STANDARD 0.000
105 ODDBALL STANDARD -1.610
106 ODDBALL STANDARD 0.000
107 ODDBALL STANDARD 1.738 0.000
108 ODDBALL RARE 0.000 -1.738
109 ODDBALL STANDARD -1.900 0.000
110 ODDBALL STANDARD 0.000
111 ODDBALL STANDARD 0.000
112 ODDBALL STANDARD 0.000
113 ODDBALL STANDARD 1.646 -1.770
114 ODDBALL RARE 0.000 -1.646
115 ODDBALL STANDARD 0.000
116 ODDBALL STANDARD 0.000
117 ODDBALL STANDARD 0.000
118 ODDBALL STANDARD 0.000
119 ODDBALL STANDARD -1.742
120 ODDBALL RARE 0.000 1.534
121 ODDBALL STANDARD -1.534 0.000
122 ODDBALL STANDARD -1.862
123 ODDBALL STANDARD -1.938
124 ODDBALL STANDARD -1.738
125 ODDBALL STANDARD 1.682 0.000
126 ODDBALL RARE 0.000 -1.682
127 ODDBALL STANDARD -1.532 0.000
128 ODDBALL STANDARD -1.586
129 ODDBALL STANDARD -1.700
130 ODDBALL STANDARD 0.000
131 ODDBALL STANDARD -1.748
132 ODDBALL RARE 0.000
133 ODDBALL STANDARD 0.000
134 ODDBALL STANDARD -1.566
135 ODDBALL STANDARD 0.000
136 ODDBALL STANDARD 0.000
137 ODDBALL RARE 0.000
138 ODDBALL STANDARD 0.000
139 ODDBALL STANDARD 0.000
140 ODDBALL STANDARD 0.000
141 ODDBALL STANDARD -1.574
142 ODDBALL STANDARD 1.872 -1.516
143 ODDBALL RARE 0.000 -1.872
144 ODDBALL STANDARD 0.000
145 ODDBALL STANDARD 0.000
146 ODDBALL STANDARD 1.518 0.000
147 ODDBALL RARE 0.000 -1.518
148 ODDBALL STANDARD 0.000
149 ODDBALL STANDARD -1.574
150 ODDBALL STANDARD 0.000
151 ODDBALL STANDARD 0.000
152 ODDBALL STANDARD 1.600 -1.888
153 ODDBALL RARE 0.000 -1.600
154 ODDBALL STANDARD -1.922 0.000
155 ODDBALL STANDARD 0.000
156 ODDBALL STANDARD 0.000
157 ODDBALL STANDARD 0.000
158 ODDBALL STANDARD 1.678 -1.804
159 ODDBALL RARE 0.000 -1.678
160 ODDBALL STANDARD 0.000
161 ODDBALL STANDARD 0.000
162 ODDBALL STANDARD 0.000
163 ODDBALL STANDARD -1.800
164 ODDBALL STANDARD 0.000
165 ODDBALL RARE 0.000 1.952
166 ODDBALL STANDARD -1.952 0.000
167 ODDBALL STANDARD -1.570
168 ODDBALL STANDARD -1.692
169 ODDBALL STANDARD 1.772 -1.666
170 ODDBALL RARE 0.000 -1.772
171 ODDBALL STANDARD 0.000
172 ODDBALL STANDARD 0.000
173 ODDBALL STANDARD 0.000
174 ODDBALL STANDARD -1.662
175 ODDBALL RARE 0.000
176 ODDBALL STANDARD 0.000
177 ODDBALL STANDARD 0.000
178 ODDBALL STANDARD 0.000
179 ODDBALL STANDARD 1.916 -1.496
180 ODDBALL RARE 0.000 -1.916
181 ODDBALL STANDARD -1.866 0.000
182 ODDBALL STANDARD 0.000
183 ODDBALL STANDARD -1.680
184 ODDBALL STANDARD -1.554
185 ODDBALL STANDARD 0.000
186 ODDBALL RARE 0.000 1.772
187 ODDBALL STANDARD -1.772 0.000
188 ODDBALL STANDARD -1.806
189 ODDBALL STANDARD 0.000
190 ODDBALL STANDARD 0.000
191 ODDBALL STANDARD 1.546 0.000
192 ODDBALL RARE 0.000 -1.546
193 ODDBALL STANDARD -1.956 0.000
194 ODDBALL STANDARD 0.000
195 ODDBALL STANDARD -1.720
196 ODDBALL RARE 0.000 1.700
197 ODDBALL STANDARD -1.700 0.000
198 ODDBALL STANDARD 0.000
199 ODDBALL STANDARD 0.502 -1.974

200 rows × 7 columns

No epochs exceeded the rejection thresholds. Nothing was dropped.
PSD
PSD calculated from 8 epochs (32.0 s).
Method picard
Fit parameters fastica_it=5
max_iter=500
Fit 163 iterations on epochs (280140 samples)
ICA components 63
Available PCA components 63
Channel types eeg
ICA components marked for exclusion ICA004
ICA008
General
Filename(s) sub-004_task-Oddball_run-01_proc-filt_raw.fif
MNE object type Raw
Measurement date Unknown
Participant sub-004
Experimenter Unknown
Acquisition
Duration 00:09:11 (HH:MM:SS)
Sampling frequency 500.00 Hz
Time points 275,500
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
PSD
autoreject_local cleaning
Autoreject was run to produce cleaner epochs. 95 epochs were rejected because more than {'eeg': 8} channels were bad (cross-validated n_interpolate limit; excluding globally bad and non-data channels, shown in white).
General
Filename(s) sub-004_task-Oddball_proc-ica_epo.fif
MNE object type EpochsFIF
Measurement date Unknown
Participant sub-004
Experimenter Unknown
Acquisition
Total number of events 105
Events counts ODDBALL RARE: 23
ODDBALL STANDARD: 82
Time range -2.000 – 2.000 s
Baseline -0.200 – 0.000 s
Sampling frequency 500.00 Hz
Time points 2,001
Metadata 105 rows × 6 columns
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (on)
Epoch # event_name ODDBALL DONE ODDBALL RARE ODDBALL STANDARD ODDBALL START STATUS/S 53
8 ODDBALL STANDARD 0.000 None
9 ODDBALL STANDARD -1.744 None
10 ODDBALL STANDARD 0.000 None
11 ODDBALL RARE 0.000 1.712 None
12 ODDBALL STANDARD -1.712 0.000 None
16 ODDBALL RARE 0.000 None
17 ODDBALL STANDARD 0.000 None
20 ODDBALL STANDARD 0.000 None
24 ODDBALL STANDARD 1.562 -1.710 None
25 ODDBALL RARE 0.000 -1.562 None
26 ODDBALL STANDARD -1.886 0.000 None
29 ODDBALL RARE 0.000 -1.580 None
30 ODDBALL STANDARD -1.912 0.000 None
31 ODDBALL STANDARD 0.000 None
34 ODDBALL STANDARD 1.678 0.000 None
35 ODDBALL RARE 0.000 -1.678 None
36 ODDBALL STANDARD 0.000 None
41 ODDBALL RARE 0.000 1.718 None
42 ODDBALL STANDARD -1.718 0.000 None
43 ODDBALL STANDARD 0.000 None
46 ODDBALL STANDARD 0.000 None
47 ODDBALL RARE 0.000 None
48 ODDBALL STANDARD 0.000 None
49 ODDBALL STANDARD 0.000 None
55 ODDBALL STANDARD 0.000 None
56 ODDBALL STANDARD -1.628 None
57 ODDBALL STANDARD 1.692 0.000 None
58 ODDBALL RARE 0.000 -1.692 None
59 ODDBALL STANDARD -1.546 0.000 None
60 ODDBALL STANDARD -1.556 None
61 ODDBALL STANDARD -1.630 None
62 ODDBALL STANDARD -1.900 None
65 ODDBALL STANDARD 0.000 None
67 ODDBALL STANDARD 0.000 None
70 ODDBALL STANDARD 0.000 None
71 ODDBALL STANDARD -1.712 None
72 ODDBALL STANDARD 1.820 -1.612 None
75 ODDBALL STANDARD 0.000 None
76 ODDBALL STANDARD -1.672 None
77 ODDBALL STANDARD 0.000 None
78 ODDBALL STANDARD -1.732 None
81 ODDBALL STANDARD 1.818 0.000 None
82 ODDBALL RARE 0.000 -1.818 None
85 ODDBALL STANDARD 0.000 None
88 ODDBALL RARE 0.000 -1.546 None
89 ODDBALL STANDARD -1.626 0.000 None
90 ODDBALL STANDARD 1.590 -1.872 None
91 ODDBALL RARE 0.000 -1.590 None
94 ODDBALL STANDARD 0.000 None
95 ODDBALL STANDARD 0.000 None
96 ODDBALL RARE 0.000 1.546 None
97 ODDBALL STANDARD -1.546 0.000 None
98 ODDBALL STANDARD 0.000 None
99 ODDBALL STANDARD -1.964 None
102 ODDBALL RARE 0.000 1.688 None
104 ODDBALL STANDARD 0.000 None
105 ODDBALL STANDARD -1.610 None
108 ODDBALL RARE 0.000 -1.738 None
111 ODDBALL STANDARD 0.000 None
112 ODDBALL STANDARD 0.000 None
113 ODDBALL STANDARD 1.646 -1.770 None
114 ODDBALL RARE 0.000 -1.646 None
115 ODDBALL STANDARD 0.000 None
116 ODDBALL STANDARD 0.000 None
117 ODDBALL STANDARD 0.000 None
118 ODDBALL STANDARD 0.000 None
119 ODDBALL STANDARD -1.742 None
120 ODDBALL RARE 0.000 1.534 None
121 ODDBALL STANDARD -1.534 0.000 None
122 ODDBALL STANDARD -1.862 None
123 ODDBALL STANDARD -1.938 None
124 ODDBALL STANDARD -1.738 None
125 ODDBALL STANDARD 1.682 0.000 None
126 ODDBALL RARE 0.000 -1.682 None
127 ODDBALL STANDARD -1.532 0.000 None
128 ODDBALL STANDARD -1.586 None
129 ODDBALL STANDARD -1.700 None
150 ODDBALL STANDARD 0.000 None
151 ODDBALL STANDARD 0.000 None
152 ODDBALL STANDARD 1.600 -1.888 None
153 ODDBALL RARE 0.000 -1.600 None
158 ODDBALL STANDARD 1.678 -1.804 None
168 ODDBALL STANDARD -1.692 None
169 ODDBALL STANDARD 1.772 -1.666 None
170 ODDBALL RARE 0.000 -1.772 None
171 ODDBALL STANDARD 0.000 None
172 ODDBALL STANDARD 0.000 None
173 ODDBALL STANDARD 0.000 None
174 ODDBALL STANDARD -1.662 None
175 ODDBALL RARE 0.000 None
177 ODDBALL STANDARD 0.000 None
178 ODDBALL STANDARD 0.000 None
179 ODDBALL STANDARD 1.916 -1.496 None
180 ODDBALL RARE 0.000 -1.916 None
181 ODDBALL STANDARD -1.866 0.000 None
182 ODDBALL STANDARD 0.000 None
183 ODDBALL STANDARD -1.680 None
184 ODDBALL STANDARD -1.554 None
185 ODDBALL STANDARD 0.000 None
186 ODDBALL RARE 0.000 1.772 None
187 ODDBALL STANDARD -1.772 0.000 None
188 ODDBALL STANDARD -1.806 None
195 ODDBALL STANDARD -1.720 None
196 ODDBALL RARE 0.000 1.700 None
197 ODDBALL STANDARD -1.700 0.000 None

105 rows × 7 columns

ERP image (EEG)
Drop log
PSD
PSD calculated from 8 epochs (32.0 s).
General
MNE object type EvokedArray
Measurement date Unknown
Participant sub-004
Experimenter Unknown
Acquisition
Aggregation average of 82 epochs
Condition ODDBALL STANDARD
Time range -2.000 – 2.000 s
Baseline -0.200 – 0.000 s
Sampling frequency 500.00 Hz
Time points 2,001
Channels
EEG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (on)
Time course (EEG)
Global field power
General
MNE object type EvokedArray
Measurement date Unknown
Participant sub-004
Experimenter Unknown
Acquisition
Aggregation average of 23 epochs
Condition ODDBALL RARE
Time range -2.000 – 2.000 s
Baseline -0.200 – 0.000 s
Sampling frequency 500.00 Hz
Time points 2,001
Channels
EEG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (on)
Time course (EEG)
Global field power
TFR Power: ODDBALL STANDARD
TFR Power: ODDBALL STANDARD
TFR ITC: ODDBALL STANDARD
TFR Inter-Trial Coherence: ODDBALL STANDARD
TFR Power: ODDBALL RARE
TFR Power: ODDBALL RARE
TFR ITC: ODDBALL RARE
TFR Inter-Trial Coherence: ODDBALL RARE
Covariance matrix
Singular values
Whitening: ODDBALL STANDARD
Whitening: ODDBALL RARE
  # Default settings for data processing and analysis.

from collections.abc import Callable, Sequence
import sys
from typing import Annotated, Any, Literal

from annotated_types import Ge, Interval, Len, MinLen
from mne import Covariance
from mne_bids import BIDSPath

from mne_bids_pipeline.typing import (
     ArbitraryContrast,
     DigMontageType,
     FloatArrayLike,
     PathLike,
 )

import argparse

import numpy as np

bids_root = "./data_split/"

interactive = False


args = [arg for arg in sys.argv if arg.startswith("--task") or not arg.startswith("-")]
parser = argparse.ArgumentParser()
parser.add_argument("ignored", nargs="*")
parser.add_argument(
    "--task", choices=("Gambling","Oddball","Axon"), required=True
)
task = parser.parse_args(args).task 
sessions = "all"

runs = "all" # Always 01 anyway
#crop_runs: tuple[float, float] | None = None
subjects = "all"

ch_types = ["eeg"] # not considering eog channels 
data_type = "eeg" # redundant


eog_channels = None # has to be none, because we have actual EOG channels

eeg_reference = "average" # default setting

#TODO check if this actually applies montage
eeg_template_montage = None # custom montage

#drop_channels: Sequence[str] = []

# Read full_config.py for more context
# Might make sense to restrict this?
analyze_channels = "ch_types"


read_raw_bids_verbose = 'error' # Don't log everyting, since files are not perfectly BIDS compliant

#FFT Power spectrum
plot_psd_for_runs = "all" # Default value



######################### Preprocessing #########################


# Read full_config.py for more context
# Paper doesn't mention breaks, but could have still happened since gameplay was quite long
find_breaks: bool = True # Default is false

min_break_duration: float = 15.0 # Default value

# Makes sense, also considering our epoching
t_break_annot_start_after_previous_event: float = 5.0 # Default value
t_break_annot_stop_before_next_event: float = 5.0 # Default value




# ## Bad channel detection
#
# Read full_config.py for context of the used algorithm

# Original paper simply removed most ventral electrodes (leaving 60).
# Is there something like this for eeg channels?
#find_flat_channels_meg: bool = True # Default is False
#find_noisy_channels_meg: bool = True # Default is False


# %%
# ## Maxwell filter

# Read full_config.py for context
# Might make sense to enable? There are many parameters than can be set
# Chose to keep disabled since it doesn't seem to be common? (esp. for EEG data)
# According to the samples: https://mne.tools/mne-bids-pipeline/stable/examples/examples.html
# use_maxwell_filter: bool = False
# mf_st_duration: float | None = None


# ## Filtering & resampling

# ### Filtering
#
# Read full_config.py for context (!!!)
# mne-bids-pipeline does not allow ICA if l_freq is below 1 Hz!! See ica_l_freq in full_config.py
l_freq: float | None = 1 # Paper uses 0.1 Hz, full_config.py recommends 1 Hz
h_freq: float | None = 120 # Paper uses 20 Hz, full_config.py recommends 40 or 120 depending on type of analysis

#TODO Why does this default to None? See if powerline noise is filtered elsewhere
notch_freq: float | Sequence[float] | None = 60 # Default is None
# notch_trans_bandwidth: float = 1.0



# ### Resampling
#
# Not necessary since already 500Hz
# raw_resample_sfreq: float | None = None


# ## Epoching

# Could be useful if event names are not as desired
# rename_events: dict = dict()
# on_rename_missing_events: Literal["ignore", "warn", "raise"] = "raise"

# TODO TODO TODO TODO

#1) missile launch button press (SHOOT_BUTTON)
#2) collect star (COLLECT_STAR)
#3) collect ammo box (COLLECT_AMMO)
#4) crash into wall (PLAYER_CRASH_WALL)
#5) crash into enemy (PLAYER_CRASH_ENEMY)
#6) missile hit enemy (MISSILE_HIT_ENEMY)

"""
The paper describes issues with the "PLAYER_CRASH_WALL" and "COLLECT_STAR" events often occuring in rapid succession, where only the first one is kept.
The filtering has already been done in step 01, and the offending events are now marked as "IGNORE PLAYER_CRASH_WALL" and "IGNORE COLLECT_STAR"
"""

conditions = []

if(task == "Gambling"): #"Wins and losses" Exemplar events
    conditions = ["GAMBLING LOSS", "GAMBLING WIN"]
elif(task == "Oddball"): #"Target detection" Exemplar events
    conditions = ["ODDBALL STANDARD", "ODDBALL RARE"]
elif(task == "Axon"):
    #There are also "GAME OVER" and "GAME START", but they occur only once (?)
    conditions = ["SHOOT_BUTTON", "MISSILE_HIT_ENEMY", "COLLECT_STAR", "COLLECT_AMMO", "PLAYER_CRASH_ENEMY", "PLAYER_CRASH_WALL"]

#TODO Check whether these epoch timings from the paper make sense. They seem unusually long?
epochs_tmin: float = -2
epochs_tmax: float = 2

#Also from the paper
baseline: tuple[float | None, float | None] | None = (-0.2, 0)


# ## Artifact removal

# ### SSP, ICA, and artifact regression

#TODO check if this performs the intended behavior (removing eye artifacts from eeg by using the eog channels)
# For some reason, this throws an error :(
#regress_artifact = {
#    "picks": "eeg", 
#    "picks_artifact": ["HEOG", "VEOG"]
#}

#TODO maybe SSP could make sense too?
# For SSP there are some more variables aswell
spatial_filter: Literal["ssp", "ica"] | None = "ica"
# """
# !!! warning "ICA requires manual intervention!"
#     After the automatic ICA component detection step, review each subject's
#     `*_report.html` report file check if the set of ICA components to be removed
#     is correct. Adjustments should be made to the `*_proc-ica_components.tsv`
#     file, which will then be used in the step that is applied during ICA.

#     ICA component order can be considered arbitrary, so any time the ICA is
#     re-fit – i.e., if you change any parameters that affect steps prior to
#     ICA fitting – this file will need to be updated!
# """

#TODO check percentage of rejected epochs. Paper states 3.27%
ica_reject: dict[str, float] | Literal["autoreject_local"] | None = "autoreject_local"


# Can go as high as 3000 for convergence
# ica_max_iterations: int = 500

# Read full_config.py for context
# None == 0.9999 might be optimal if only artifact removal is of interest
# ica_n_components: float | int | None = None


#TODO Browse raw data to find actual eog and ecg thresholds
#Read full_config.py for tips on how to do this
# ica_ecg_threshold: float = 0.1
# """
# The cross-trial phase statistics (CTPS) threshold parameter used for detecting
# ECG-related ICs.
# """

# ica_eog_threshold: float = 3.0
# """
# The threshold to use during automated EOG classification. Lower values mean
# that more ICs will be identified as EOG-related. If too low, the
# false-alarm rate increases dramatically.
# """

#For rejection after ICA
#Probably makes the most sense for data with moderate amounts of artifacts
reject: dict[str, float] | Literal["autoreject_global", "autoreject_local"] | None = "autoreject_local"#(
#     None
# )


# In the paper a median of 2 electrodes (range 1 to 3) was interpolated, so add these values
autoreject_n_interpolate: FloatArrayLike = [1,2,3, 4, 8, 16] # Default [4, 8, 16]
# """
# The maximum number of bad channels in an epoch that `autoreject` local will try to
# interpolate. The optimal number among this list will be estimated using a
# cross-validation procedure; this means that the more elements are provided here, the
# longer the `autoreject` run will take. If the number of bad channels in an epoch
# exceeds this value, the channels won't be interpolated and the epoch will be dropped.

# Read full_config.py for more context
# Has many more parameters
decode = False # Default is True

# ## Time-frequency analysis

# Just put in all events for now (?)
time_frequency_conditions: Sequence[str] = conditions

#TODO look at the data to find optimal values
# time_frequency_freq_min: float | None = 8
# time_frequency_freq_max: float | None = 40

time_frequency_freq_min = 1  # minimum frequency in Hz
time_frequency_freq_max = 50  # maximum frequency in Hz
#1 to 50 Hz in 49 logarithmically spaced steps
frequencies = np.logspace(np.log10(time_frequency_freq_min), np.log10(time_frequency_freq_max), 49)

# sigma
time_frequency_cycles = 4 / (2 * np.pi * frequencies)

# time_frequency_subtract_evoked: bool = False

time_frequency_baseline: tuple[float, float] | None = (-0.3, -0.2)
time_frequency_baseline_mode: str = "logratio" # Default is "mean"
time_frequency_crop: dict | None = dict(tmin=-0.5, tmax=1, fmin=1, fmax=50) # Default in None



n_jobs: int = 12
# """
# Specifies how many subjects you want to process in parallel. If `1`, disables
# parallel processing.
# """

  Platform             Linux-6.5.0-44-generic-x86_64-with-glibc2.38
Python               3.11.6 (main, Apr 10 2024, 17:26:07) [GCC 13.2.0]
Executable           /home/okk/.local/bin/python3.11
CPU                  x86_64 (12 cores)
Memory               62.7 GB

Core
├☑ mne               1.8.0 (latest release)
├☑ numpy             1.26.4 (OpenBLAS 0.3.23.dev with 1 thread)
├☑ scipy             1.12.0
└☑ matplotlib        3.8.2 (backend=agg)

Numerical (optional)
├☑ sklearn           1.3.2
├☑ numba             0.58.1
├☑ nibabel           5.3.2
├☑ pandas            1.5.3
├☑ h5io              0.2.4
├☑ h5py              3.10.0
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.44.2 (OpenGL 4.5.0 NVIDIA 535.171.04 via NVIDIA GeForce GTX 1060 6GB/PCIe/SSE2)
├☑ pyvistaqt         0.11.1
├☑ vtk               9.3.1
├☑ qtpy              2.4.2 (PyQt5=5.15.14)
├☑ pyqtgraph         0.13.7
└☐ unavailable       ipympl, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.16.0
├☑ mne-bids-pipeline 1.9.0
├☑ eeglabio          0.0.3
├☑ edfio             0.4.5
├☑ pybv              0.7.6
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, mffpy